TRUST OR Product
The Operating Trust Layer for AI Agents.
Know what is operating. Decide before impact. Control execution. Preserve verifiable evidence. Improve what happens next.
One connected trust lifecycle for agents, tools and the workflows they create.
One trusted decision · illustrative
01
Agent
Identity registered
02 · Trust layer
Praetor0
Futures simulatedTRUST GPS
03
Execution
Controlled
04TRUST EvidenceVerifiable proof accumulates with the decision.
Intent
Action proposed
- Identity verification
- Gateway
- Context + policy
- Enforcement
- Decision orchestration
- Evidence capture
Trust Scoring EngineContinuous intelligence
- 92ATrusted
- 61BConstrain
- 28CBlock
Route A selected
Decision
Authorized action
- BeforeIdentity · policy · context
- DuringSignals · controls · reasoning
- AfterOutcome · trace · impact
PlannedTRUST FinOpsImprove the next decision
03 · One connected lifecycle
From operating context to a better next decision.
Registry establishes what is known. TRUST GPS evaluates the decision. Praetor0 controls execution. TRUST Evidence preserves proof. TRUST FinOps turns operating history into improvement.
- 01 · KnowRegistryOperating context
- 02 · DecideTRUST GPSPre-execution guidance
- 03 · ControlPraetor0Operating decision
- 04 · ProveTRUST EvidenceVerifiable record
- 05 · ImproveTRUST FinOpsPlanned capability
Trust Scoring EngineContinuous trust intelligence across every stage
04 · The operating foundation
Every trusted decision starts with known actors.
Registry maintains the operating context for registered agents, tools, machine identities, capabilities and owners. It gives every policy decision, trust evaluation and evidence record a known starting point.
- See which agents and tools are registered.
- Understand declared capabilities and operating status.
- Establish the identity context required for control and audit.
Registry enables the lifecycle. TRUST GPS turns that context into a pre-execution decision.
Explore registry and enrollment architectureEntityTypeOwnerStatus
- Support AgentAgentCustomer OpsActive
- CRM ServiceToolRevOpsActive
- Data AgentAgentData PlatformReview
05 · Before execution
Decide before an agent action becomes impact.
TRUST GPS evaluates the agent identity, applicable policy and available trust signals before execution. It returns machine-readable guidance that the operating layer can apply immediately.
- Evaluate the decision in its operating context.
- Identify when trust or evidence is insufficient.
- Guide the action to proceed, constrain or stop.
Move from permission alone to a decision informed by current trust.
Explore decision flow and Trust Engine mechanics- ProceedTrust and policy conditions satisfied
- ConstrainApply a safer operating boundary
- StopCritical trust or policy failure
Machine-readable guidance
06 · During execution
Turn trust guidance into operating control.
Praetor0 applies identity, policy and trust decisions where agents attempt to act. Trusted operations proceed; actions that fail policy or critical trust conditions can be constrained or blocked.
- Apply policy before sensitive operations execute.
- Keep the decision and its reason linked.
- Add agentic control without positioning TRUST OR as a replacement for the entire enterprise stack.
Control the moment between agent intent and real-world impact.
Explore enforcement architectureAgent intentProposed operationIdentity and context attached
Praetor0ProceedPolicy satisfied · trust supported✓
Controlled impactAuthorized executionDecision and reason linked
07 · After execution
Turn every execution into verifiable evidence.
TRUST Evidence reconstructs the execution timeline and links identity, authority, provenance, policy decisions, operational signals and outcomes in one reviewable record.
- Trace what happened and in which order.
- See which policy and authority supported the action.
- Make missing or insufficient evidence visible.
- Support operational review, security investigation, governance and regulatory mapping.
Move from fragmented logs to evidence connected to the decision itself.
Explore the evidence model and retention controlsIdentity AGT-8F2ATrusted operation completedEvidence sufficient
- Identity and authority verifiedPass
- Policy decision attachedAllow
- Operational signals preservedProven
- Outcome linked to decisionComplete
Planned capability
08 · The next decision
Improve trust, execution quality and cost together.
TRUST FinOps is designed to connect operating cost with the trust and execution history of agents, tools and workflows—so teams can identify expensive failure patterns and improve future operating choices.
- Understand cost in the context of agent execution.
- Identify retries, failures and inefficient operating patterns.
- Compare future choices using trust, risk and cost together.
The most efficient path should also be one the enterprise can trust.
Explore the planned cost telemetry model
Conceptual product view
TrustEvidence-supported confidence
Execution qualityReliability and outcomes
CostOperating resources
Better next choiceTrusted operating efficiency
09 · Continuous trust intelligence
Trust is evaluated across the entire lifecycle.
The Trust Scoring Engine continuously evaluates whether the available evidence supports confidence in each agent, tool and interaction. It keeps trust connected to current operating behavior instead of treating it as a static permission.
RegistryTRUST GPSPraetor0EvidenceFinOps
- 01
Evidence must be sufficient before confidence is treated as normal.
- 02
Missing evidence remains visible.
- 03
Risks and anomalies reduce trust; they never inflate it.
- 04
Trust results remain linked to the evidence that produced them.
One intelligence layer beneath Registry, TRUST GPS, Praetor0, TRUST Evidence and TRUST FinOps.
Explore trust-scoring architecture10 · Where trust matters
Start with the workflows that create real exposure.
Multi-agent delegation
Preserve identity, authority and execution context as work moves between agents.
Tool-heavy automation
Connect tool use with policy decisions, errors, retries and operational outcomes.
Sensitive-data workflows
Require the policy and evidence needed when agents interact with protected information.
RAG and factual outputs
Keep factual outputs connected to source provenance and available grounding evidence.
Code execution
Link execution context, sandbox use and resulting artifacts to the decision record.
External actions
Control and audit agent actions that create tickets, messages, deployments, payments or other side effects.
11 · Fit the stack you already have
Add an operating trust layer without starting with replacement.
TRUST OR is designed to work alongside existing identity, gateway, policy, observability and security systems. Start with one critical workflow, connect the minimum evidence required for a trustworthy decision and expand coverage as operating confidence grows.
Explore deployment modes and integration patternsExisting environmentIdentity · Gateway · Policy · Observability · Security
Operating trust layerTRUST OR
Agentic environmentAgents · Tools · Workflows · Side effects
- 01Select a critical agent workflow.
- 02Map its agents, tools, policies and side effects.
- 03Connect the minimum viable evidence stream.
- 04Review decisions, controls and evidence.
- 05Define the next coverage boundary.
12 · Start with one decision
Choose an agent workflow worth trusting.
We will map its operating context, decision points, controls and evidence requirements in a focused TRUST OR demonstration.